What will you do if removing missing values from a dataset cause bias?
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What is missing value imputation? How do you handle missing values in python or r?
What is collaborative filtering?
What is the law of large numbers?
Which technique will you use to compare the performance of two back-end engines that generate automatic friend recommendations on Facebook?
What do you mean by graphics devices in data visualization?
Do gradient descent methods always converge to the same point?
What do you mean by word data science?
Explain cluster sampling technique in data science
How will you impute missing information in a dataset?
You are creating a report for user content uploads every month and observe a sudden increase in the number of upload for the month of November. The increase in uploads is particularly in image uploads. What do you think will be the cause for this and how will you test this sudden spike?
List the differences between supervised and unsupervised learning.
In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?
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